mlsanityData to 14 Oct 2026

Symbotunes: unified hub for symbolic music generative models

arXiv 2410.20515 ↗First posted 27 Oct 2024cs.SD cs.AI cs.LGcited by 1

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Abstract (arXiv)

Implementations of popular symbolic music generative models often differ significantly in terms of the libraries utilized and overall project structure. Therefore, directly comparing the methods or becoming acquainted with them may present challenges. To mitigate this issue we introduce Symbotunes, an open-source unified hub for symbolic music generative models. Symbotunes contains modern Python implementations of well-known methods for symbolic music generation, as well as a unified pipeline for generating and training.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 9 references that are in the map. First posted on arXiv 27 Oct 2024.

Builds on

3 of 9 references.

References · 3

  1. 2018A Hierarchical Latent Vector Model for Learning Long-Term Structure in Musiccited by 131
  2. 2016Music transcription modelling and composition using deep learningcited by 36
  3. 2023miditok: A Python package for MIDI file tokenizationcited by 27

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Frechet Music Distance: A Metric For Generative Symbolic Music Evaluationcited by 15